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Jan 8, 2021 at 16:24 comment added Jake Westfall -1 because this does not seem to actually answer the question
Jan 8, 2021 at 16:04 history edited gung - Reinstate Monica CC BY-SA 4.0
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Aug 16, 2017 at 20:48 comment added emudrak How would the result of MCA on binary data differ from the result of a PCoA with a distance measure appropriate for binary data like Jaccard or simple matching?
Jul 6, 2015 at 8:56 comment added Antoine I added back the answer because I think MCA might be helpful here, but I removed the discussion about the inflation of the feature space since it did not seem to be relevant
Jul 6, 2015 at 8:55 history undeleted Antoine
Jul 6, 2015 at 8:55 history edited Antoine CC BY-SA 3.0
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Jul 3, 2015 at 11:58 history deleted Antoine via Vote
Jul 3, 2015 at 10:54 comment added ttnphns I don't think that you have to remove the answer. MCA is one of right choices, for me, and your answer is all right.
Jul 3, 2015 at 10:47 comment added Antoine I misunderstood the inflation of the feature space phenomenon. It seems to be coming into play when going from CA to MCA, but is not an inherent issue of PCA. I am going to remove my answer when you have read this comment. Thanks for making me realize that.
Jul 3, 2015 at 10:19 comment added ttnphns An interesting answer, I'd rather agree with it. It will be great asset to it if you explain in more detail the phenomenon of the inflation of the feature space and why it would occur in PCA and not in MCA.
Jul 3, 2015 at 9:46 history edited Antoine CC BY-SA 3.0
added 80 characters in body
Jul 3, 2015 at 9:41 history answered Antoine CC BY-SA 3.0